Deep Convolutional Neural Network Ensembles Using ECOC
Deep neural networks have enhanced the performance of decision making systems in many applications, including image understanding, and further gains can be achieved by constructing ensembles. However, designing an ensemble of deep networks is often not very beneficial since the time needed to train...
Saved in:
Main Authors: | Sara Atito Ali Ahmed, Cemre Zor, Muhammad Awais, Berrin Yanikoglu, Josef Kittler |
---|---|
Format: | article |
Language: | EN |
Published: |
IEEE
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/d0e8b725deaf445ea43c6b007215d0b0 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Mothers Matter: Using Regression Tree Algorithms to Predict Adolescents’ Sharing of Drunk References on Social Media
by: Sebastian Kurten, et al.
Published: (2021) -
A Fusion Framework for Forecasting Financial Market Direction Using Enhanced Ensemble Models and Technical Indicators
by: Dushmanta Kumar Padhi, et al.
Published: (2021) -
Machine Learning and Deterministic Approach to the Reflective Ultrasound Tomography
by: Dariusz Majerek, et al.
Published: (2021) -
Experimental Analysis of GBM to Expand the Time Horizon of Irish Electricity Price Forecasts
by: Conor Lynch, et al.
Published: (2021) -
Bagging and Boosting Ensemble Classifiers for Classification of Multispectral, Hyperspectral and PolSAR Data: A Comparative Evaluation
by: Hamid Jafarzadeh, et al.
Published: (2021)